Publication

Big Data: un enjeu majeur pour gérer le trafic et la mobilité

Pierre-Yves Gilliéron
2013
Journal Articles

Abstract

Les données de trafic et de mobilité sont essentielles pour le déploiement des services ITS. L’avènement des nouvelles technologies de la communication et de l’informatique offre un fort potentiel pour la saisie et la transmission d’informations liées à la mobilité. L’évolution rapide de ces technologies est très prometteuse, mais elle comporte également des risques associés à la gestion de grandes quantités de données, à l’intrusion dans la sphère privée et à un usage malveillant. Cet article décrit le contexte et propose quelques pistes d’approfondissements pour les problématiques de monitoring de la qualité des données, pour les questions de certification et pour les méthodes d’anonymisation et les moyens de lutte contre la fraude.

Official source

https://infoscience.epfl.ch/entities/publication/643bf4ba-0173-46f9-a5fa-ec31aba6d4ea

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Pierre-Yves Gilliéron
2013
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/643bf4ba-0173-46f9-a5fa-ec31aba6d4ea

About this result

Related concepts (5)

Big data

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.

Related publications (1)

Big Data: un enjeu majeur pour gérer le trafic et la mobilité

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